Fuzzy logic = computing with words
Zadeh, L.A.
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA;
This paper appears in: Fuzzy Systems, IEEE Transactions on
Publication Date: May 1996
Volume: 4,
Issue: 2
On page(s): 103-111
ISSN: 1063-6706
References Cited: 39
CODEN: IEFSEV
INSPEC Accession Number: 5279376
Digital Object Identifier: 10.1109/91.493904
Current Version Published: 2002-08-06
Abstract
As its name suggests, computing with words (CW) is a methodology
in which words are used in place of numbers for computing and reasoning.
The point of this note is that fuzzy logic plays a pivotal role in CW
and vice-versa. Thus, as an approximation, fuzzy logic may be equated to
CW. There are two major imperatives for computing with words. First,
computing with words is a necessity when the available information is
too imprecise to justify the use of numbers, and second, when there is a
tolerance for imprecision which can be exploited to achieve
tractability, robustness, low solution cost, and better rapport with
reality. Exploitation of the tolerance for imprecision is an issue of
central importance in CW. In CW, a word is viewed as a label of a
granule; that is, a fuzzy set of points drawn together by similarity,
with the fuzzy set playing the role of a fuzzy constraint on a variable.
The premises are assumed to be expressed as propositions in a natural
language. In coming years, computing with words is likely to evolve into
a basic methodology in its own right with wide-ranging ramifications on
both basic and applied levels
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